Triple
T3936795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sticks & Stones |
E90931
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Stan Lathan |
E176468
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stan Lathan | Statement: [Sticks & Stones, producer, Stan Lathan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Lathan Context triple: [Sticks & Stones, producer, Stan Lathan]
-
A.
Stan Lathan
chosen
Stan Lathan is an American television and film director and producer known for his influential work in comedy and urban-themed programming, including directing numerous specials for comedians like Dave Chappelle.
-
B.
John Ferrell
John Ferrell was a photographer for the U.S. Farm Security Administration, contributing documentary images of American life during the Great Depression and World War II era.
-
C.
Jeffrey Seller
Jeffrey Seller is a prominent American theatrical producer best known for bringing groundbreaking Broadway musicals like "Hamilton," "Rent," and "Avenue Q" to the stage.
-
D.
Stephen Frank
Stephen Frank was an early American pioneer after whom the city of Frankfort, Kentucky, is named.
-
E.
Michael Culver
Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedceab608190934293d432f14476 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56284b2708190858e830355f3ff24 |
completed | March 14, 2026, 1:28 p.m. |
Created at: March 9, 2026, 3:23 p.m.